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ORCIDPattern Recognition, Volume 89
Volume 89, May 2019
- Tao Yao, Gang Wang, Lianshan Yan, Xiangwei Kong, Qingtang Su, Caiming Zhang, Qi Tian:
Online latent semantic hashing for cross-media retrieval. 1-11
- Chen-Lin Zhang
, Jianxin Wu:
Improving CNN linear layers with power mean non-linearity. 12-21
- Yazhou Yang, Marco Loog:
Single shot active learning using pseudo annotators. 22-31
- Eliezer S. Flores, Maciel Zortea, Jacob Scharcanski:
Dictionaries of deep features for land-use scene classification of very high spatial resolution images. 32-44
- Kewei Tang, Zhixun Su, Yang Liu, Wei Jiang, Jie Zhang, Xiyan Sun:
Subspace segmentation with a large number of subspaces using infinity norm minimization. 45-54
- Haishuai Wang, Qin Zhang, Jia Wu, Shirui Pan, Yixin Chen:
Time series feature learning with labeled and unlabeled data. 55-66
- Jun Shi, Xiao Zheng, Jinjie Wu, Bangming Gong, Qi Zhang, Shihui Ying:
Quaternion Grassmann average network for learning representation of histopathological image. 67-76
- Cosimo Patruno, Roberto Marani, Grazia Cicirelli, Ettore Stella, Tiziana D'Orazio:
People re-identification using skeleton standard posture and color descriptors from RGB-D data. 77-90
- Meng Pang, Yiu-ming Cheung, Binghui Wang, Risheng Liu:
Robust heterogeneous discriminative analysis for face recognition with single sample per person. 91-107
- Pengfei Chen, Leida Li, Xinfeng Zhang, Shanshe Wang, Allen Tan:
Blind quality index for tone-mapped images based on luminance partition. 108-118
- Haoliang Yuan, Junyu Li, Loi Lei Lai, Yuan Yan Tang:
Joint sparse matrix regression and nonnegative spectral analysis for two-dimensional unsupervised feature selection. 119-133
- Farnoosh Ghadiri, Robert Bergevin, Guillaume-Alexandre Bilodeau:
From superpixel to human shape modelling for carried object detection. 134-150 - Marcel Nwali, Simon Liao:
A new fast algorithm to compute continuous moments defined in a rectangular region. 151-160
- Debasrita Chakraborty, Vaasudev Narayanan, Ashish Ghosh:
Integration of deep feature extraction and ensemble learning for outlier detection. 161-171
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